Building/checkpoints/forward/training_history.csv

1	epoch	lr	train_loss	train_time_loss	train_weighted_time_loss	train_fft_loss	train_rms_loss	train_scale_loss	train_underestimate_loss	train_envelope_loss	train_rms_error	train_dominant_freq_error	val_loss	val_time_loss	val_weighted_time_loss	val_fft_loss	val_rms_loss	val_scale_loss	val_underestimate_loss	val_envelope_loss	val_rms_error	val_dominant_freq_error
2	1	0.001	32.23490004269582	0.9063257234838774	0.09063257336757093	2462.537229142099	0.5202015545570625	0.5072746667659508	0.23183272828189833	0.9878060196368199	0.5202015545570625	0.6667674588373308	16.848691019518622	0.5030307245665583	0.05030307315033058	712.1304384428879	0.21638367042459292	0.3054182426682834	0.16712227438030572	0.7986705179872184	0.21638367042459292	0.9571996228951049
3	2	0.001	21.43670712776904	0.9317702313639084	0.09317702508338217	1694.0047123747052	0.35049294160222105	0.3616391454102858	0.1121402242625097	0.672775794312639	0.35049294160222105	0.6002240721274537	18.15417513354071	0.5811605972462687	0.058116060392609956	948.0657793242356	0.23726162314414978	0.3922087324076685	0.15394838554142365	0.7320991713425209	0.23726162314414978	0.8361816405868994
4	3	0.001	18.081004331696708	0.949055330933265	0.09490553458344261	1372.9708672289578	0.28145609332143134	0.3131425976753235	0.09374795892750318	0.6080609613432074	0.28145609332143134	0.616063318727439	16.73266759412042	0.5420598767954727	0.05420598895128431	673.0913622625943	0.238979727286717	0.33492567107595245	0.1804515516449665	0.7293170896069757	0.238979727286717	0.7597824622933206
5	4	0.001	15.158426779621053	0.9718681652590914	0.09718681784030402	1005.0683164776497	0.2189214069325969	0.2836238658934269	0.08367646379695046	0.5845890998278024	0.2189214069325969	0.6179393338571753	17.278400026518725	0.5685602380283947	0.056856024560743366	892.716255977236	0.22618299260221678	0.36168746264844104	0.1538948353444194	0.6990852653980255	0.22618299260221678	0.7597824622933206
6	5	0.001	13.61913053044733	0.9698394334541177	0.09698394513776842	859.7200766509434	0.19106561557020782	0.2557676170232161	0.07612784807833861	0.5538543634257227	0.19106561557020782	0.6155450957215706	17.31632186626566	0.5785790409507423	0.057857905097048856	895.00206572434	0.21634554451909557	0.35666010605877846	0.1514351657302729	0.7220557270378902	0.21634554451909557	0.7402091190436203
7	6	0.001	12.678725962368947	0.9694307513956754	0.0969430767351164	788.4346546676924	0.1713324544845887	0.23463592369039105	0.07080332469195127	0.5323761788741598	0.1713324544845887	0.6164817462027068	18.423015594482422	0.5721222347226637	0.057212224808232535	888.629751271215	0.25913861959144985	0.4007708651238474	0.16395779438959113	0.7525067822686557	0.25913861959144985	0.7218985721265917
8	7	0.001	12.268796533908484	0.967802310889622	0.09678023287429	744.56112426182	0.1675024907684551	0.2299804154713199	0.06777841198029665	0.5231116253812358	0.1675024907684551	0.5961900787542253	17.48041952067408	0.5510032737049563	0.055100328578003524	704.0817605380354	0.2379121222886546	0.37086750232967836	0.19612120528673305	0.7370918125941835	0.2379121222886546	0.7088496766840734
9	8	0.001	11.889431161700555	0.967772865070487	0.09677728824317455	712.115890215028	0.1614244244289848	0.2226250537161557	0.06655820054968573	0.5118434342010966	0.1614244244289848	0.6022199021486582	18.410391971982758	0.5461424337378864	0.05461424415738418	738.1983037488214	0.2533088120920905	0.3795644687167529	0.21159803308546543	0.7770289305982918	0.2533088120920905	0.707797346401937
10	9	0.001	11.234980547203207	0.9654024828155086	0.09654024967326308	670.3140682004532	0.14827435323089924	0.20859187953876998	0.062428659900038874	0.4916352005499714	0.14827435323089924	0.5623616312479263	16.51186601046858	0.5469307437025267	0.05469307598882708	658.5074381335028	0.23887184570575581	0.3477302913008065	0.18191729235494958	0.6951427665250055	0.23887184570575581	0.7065345500594454
11	10	0.001	10.992490152143082	0.9626774315564137	0.09626774419591112	649.039663350807	0.14625250653557056	0.20260991113928128	0.061842711396374796	0.48383018318212256	0.14625250653557056	0.568747647623218	17.501161114922887	0.5506949491541961	0.05506949608439002	671.2075416301859	0.2541997463538729	0.373840541675173	0.19259302314884705	0.7480303932880533	0.2541997463538729	0.708428744563363
12	11	0.0005	10.806822551871246	0.9680146614335617	0.09680146787245318	637.6420590382702	0.14451587228280194	0.2035975716305229	0.0572100906404403	0.4776927213061531	0.14451587228280194	0.5574953460125556	17.13407661174906	0.5288547395632185	0.05288547495829648	618.1973874322299	0.2417878899081	0.34800343832065317	0.21005815672206468	0.7388678706925491	0.2417878899081	0.7122171335564683
13	12	0.0005	10.255595112746617	0.9616962041494981	0.09616962194723903	599.1373590433373	0.12593858316540718	0.18720266560338578	0.05598305191247249	0.4703599948365733	0.12593858316540718	0.5670544286673502	16.41022307297279	0.5580467443014013	0.055804675894564594	691.4893851444639	0.23402822017669678	0.3565609496215294	0.17255781141334567	0.6764166149599798	0.23402822017669678	0.6966426454535165
14	13	0.0005	9.979247138185322	0.9624017550135558	0.09624017732885648	580.7163422782467	0.12185739905063836	0.18553815514973873	0.05258095577657926	0.4598706980358879	0.12185739905063836	0.5524671217591512	16.273903156148975	0.5295915886245924	0.05295915985158805	541.1639246447332	0.23793373128463483	0.3361044392503541	0.20454522344315873	0.7062619534032099	0.23793373128463483	0.7056926858376642